Invention Application
- Patent Title: SIMULATION ORCHESTRATION FOR TRAINING REINFORCEMENT LEARNING MODELS
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Application No.: US16201872Application Date: 2018-11-27
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Publication No.: US20200167437A1Publication Date: 2020-05-28
- Inventor: Sunil Mallya Kasaragod , Sahika Genc , Leo Parker Dirac , Bharathan Balaji , Eric Li Sun , Marthinus Coenraad De Clercq Wentzel , Brian James Townsend , Pramod Ravikumar Kumar
- Applicant: Amazon Technologies, Inc.
- Main IPC: G06F17/50
- IPC: G06F17/50 ; G06N20/00

Abstract:
A simulation workflow manager obtains a set of parameters for simulation of a system and training of a reinforcement learning model for optimizing an application of the system. In response to obtaining the set of parameters, the simulation workflow manager configures a first compute node that includes a training application for training the reinforcement learning model. The simulation workflow manager also configures a second compute note with a simulation application to perform the simulation of the system in a simulation environment. Data is generated through execution of the simulation in the second compute node that is provided to the first compute node to cause the training application to use the data to train the reinforcement learning model.
Public/Granted literature
- US11429762B2 Simulation orchestration for training reinforcement learning models Public/Granted day:2022-08-30
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